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Python 3 Text Processing with NLTK 3 Cookbook

You're reading from   Python 3 Text Processing with NLTK 3 Cookbook

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
Languages
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Author (1):
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Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
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Toc

Table of Contents (12) Chapters Close

Preface 1. Tokenizing Text and WordNet Basics FREE CHAPTER 2. Replacing and Correcting Words 3. Creating Custom Corpora 4. Part-of-speech Tagging 5. Extracting Chunks 6. Transforming Chunks and Trees 7. Text Classification 8. Distributed Processing and Handling Large Datasets 9. Parsing Specific Data Types A. Penn Treebank Part-of-speech Tags
Index

Index

A

  • AbiWord
    • about / Getting ready
  • above_score(score_fn, min_score) function / Scoring ngrams
  • absolute link / There's more...
  • AbstractLazySequence class / How it works...
  • accuracy
    • evaluating, of tagger / Evaluating accuracy
  • a ClassiferBasedTagger class
    • training / How to do it...
  • AffixTagger class / Affix tagging
    • min_stem_length keyword / Working with min_stem_length
  • affix tagging
    • about / How to do it..., How it works...
  • anchor tag / How it works...
  • antonym replacement
    • about / Replacing negations with antonyms
  • AntonymReplacer class
    • about / How it works...
  • antonyms
    • about / Antonyms, Replacing negations with antonyms
    • negations, replacing with / Replacing negations with antonyms, How it works...
  • antonyms() method / Antonyms
  • append_line() function / How to do it..., How it works...
  • ASCII
    • converting / Converting to ASCII
  • Aspell
    • about / Getting ready...
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